For good reason, there is a great need for AI engineers in the world we live today. Tasks that are often performed by humans, such as speech recognition, image processing, business process management, and even medical diagnosis, can all seem to be improved and made simpler by artificial intelligence. Consider a lucrative AI job and learn how to become an AI engineer if you’re already technically inclined and have experience with software programming.
What Does an AI Engineer Do?
An artificial intelligence (AI) engineer creates AI models with deep learning neural networks and machine learning algorithms to extract business insights that influence the enterprise as a whole. Depending on the objectives they want to achieve, these engineers can also build strong or weak AIs. Programming, software engineering, and data science are topics that AI developers are well-versed in. To process data and create and manage AI systems, they employ a variety of tools and methods.
Artificial intelligence (AI) engineers create a variety of AI applications, including sentiment analysis-based contextual advertising, visual identification or perception, and language translation. The duties of an AI engineer are covered in the following part of How to Become an AI Engineer.
How to Become an Artificial Intelligence Engineer?
In order to become an expert in artificial intelligence, you must do the following:
Step 1: You have to get your secondary school diploma
The first requirement to be met in order to pursue a career in artificial intelligence engineering is obtaining a high school diploma with a concentration in one of the scientific subjects, such as mathematics, physics, or chemistry. Statistics is another one of the core subjects you can study in school. You’ll have a good basis for your future learning if you graduate from high school with a strong knowledge in science topics.
Step 2: You have to complete a Bachelor’s Degree
An alternative to a four-year Bachelor of Technology (B.Tech) program is to enrol in a three-year Bachelor of Science (B.Sc.) program. Another option is to major in artificial intelligence alongside data science and machine learning after receiving an engineering degree in a theoretically similar discipline, such as computer science or information technology. You might need to perform well on the Joint Entrance Examination (JEE) in order to gain admission to esteemed engineering colleges like NITs, IITs, and IIITs.
Step 3: Pursue after your master’s degree
One thing that can make you stand out amongst your peers is if you get a Master’s degree in AI engineering, especially when applying for jobs. Apart from this, having a Master’s degree will make you understand some topics in AI better, and it will also equip you with specialised technical abilities.
Step 4: Try to earn AI-related Certifications
Enrolling in AI certificate programs or courses will help you improve your skills. You can check out our AI certificate course for free.
Step 5: Acquire Practical Experience
For you to become an AI engineer, you have to experience how it works in the real world. Apart from being good in computer science, statistics, or mathematics, you should also be able to solve practical problems from real life experience. A good way to achieve this is by working on online projects or attending Hackathon programs. Attending online programs and boot camps can also help you in the form of mentorship. This will allow you to work on real projects and get advice from experts in the AI field. By doing this, you will definitely be up there as one of the best AI engineers.
What are the Qualifications available in AI?
Although AI engineering is still in its early days, it has the potential to create an abundance of job opportunities in the years to come. The very minimum need for admittance into the field of artificial intelligence engineering is a bachelor’s degree in a relevant discipline, such as computer engineering, statistics, data science, or information technology.
After receiving a bachelor’s degree in computer science, you may pursue a master’s degree in artificial intelligence. Having credentials in machine learning, deep learning, and data science can help you land a job and provide you a solid understanding of key areas.
What are the Responsibilities of an AI Engineer?
You are responsible for carrying out certain duties as an AI or ML engineer, such as creating, testing, and implementing AI models using programming approaches like logistic regression, random forest, linear regression, and so on. Among the duties are:Â
- Create application program interfaces (APIs) from the machine learning models so that other applications can utilise them.
- Build AI models from the ground up and assist stakeholders and product managers in understanding the benefits the model brings to their respective roles within the company.
- Design infrastructure for data transformation and ingestion.
- Automate the data science team’s infrastructure.
- Conduct statistical analysis and fine-tune the outcomes to enable the organisation to make more informed choices.
- Establish and oversee the infrastructure for AI development and products.
- Play well with others, as cooperation is essential.
Average salary you can get as an AI Engineer
The average yearly compensation for an AI engineer in the US is $114,121, per Glassdoor. Depending on the organisation and the information and experience you bring to the table, salary can differ.
Conclusion
To learn more about AI engineering, check out our Artificial intelligence training course.
